Sevilgen G., Bayram H., Kilic M.

THERMAL SCIENCE, vol.25, no.3, pp.1677-1687, 2021 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 25 Issue: 3
  • Publication Date: 2021
  • Doi Number: 10.2298/tsci191016099s
  • Journal Name: THERMAL SCIENCE
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Directory of Open Access Journals
  • Page Numbers: pp.1677-1687
  • Keywords: 1-D simulation, refrigerants, cool down simulation, cooling, vehicle cabin, AIR-CONDITIONING SYSTEM, NUMERICAL-ANALYSIS, VIRTUAL MANNEQUIN, AUTOMOBILE CABIN, HEAT-TRANSFER, PERFORMANCE, R1234YF, R134A
  • Bursa Uludag University Affiliated: Yes


In this paper, a detailed combined 1-D model of HVAC systems of a vehicle were developed by using the LMS imagine LAB AMESIM software package. The numerical simulations were considered for soaking and cool down analysis under different environmental conditions. The thermal performance of different refrigerants as R-134a and R-1234yf were evaluated in terms of thermal performance and energy consumption. According to the soaking simulation results, the cabin air temperature values ranged from 49 degrees C to 57 degrees C in general. The maximum increase in cabin air temperature value was about 22 degrees C obtained for 1000 W/m(2) solar load. The total time until reaching the steady-state conditions for a target temperature value (23.5 degrees C) was different for all simulations. The total time was calculated as 910 seconds for 1000 W/m(2) solar load by using R-134a refrigerant loop. The results also showed that although the thermal performance of R-134a was slightly better, R-1234yf can be used due to its environmental properties with acceptable performance. The calculated COP values during cooldown analysis were ranged from 1.71 to 4.52 in general. The minimum value was obtained for the cases which had a maximum solar load and higher cabin interior temperature values. The calculated temperature data for soaking and cool down analysis were in good agreement with the reference data presented in this study. These numerical results are very important for reducing the thermal load of the vehicle cabin considering energy consumption of the HVAC system for different thermal conditions.